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Construction of mathematical model of Xin’an Wang’s internal medicine in treatment of epigastric pain based on data mining technology / 中草药
Chinese Traditional and Herbal Drugs ; (24): 5705-5711, 2018.
Artículo en Chino | WPRIM | ID: wpr-851531
ABSTRACT
To establish mathematical model of Xin’an Wang’s internal medicine for treating epigastric pain through the data mining technique, and provide a more sufficient scientific basis for systematically discussing the rule of traditional Chinese medicines in treating epigastric pain. From the “Wang Zhongqi case” and “Wang Renzhi case”, outpatient medical records of Professor Letao Wang and Professor Jian Wang were used to select 310 cases of medical records in the diagnosis and treatment of epigastric pain according to inclusion criteria. Then we extracted the information of prescription, symptoms and signs, and established “information database of Xin’an Wang’s medical cases of internal medicine for treating epigastric pain”. Using frequency analysis, calculation of high-frequency drugs, and application of IBM Modeler 14.1 by SPSS Apriori algorithm for correlation analysis to extract the core prescription and then establish the mathematical model of Wang’s doctors treating epigastric pain. Wang’s doctors in Xin’an often treat the stomach and spleen with the same treatment of liver and spleen. Wang’s physician treated epigastric pain with both liver and spleen. Wang’s physician assisted the spleen with Tongyang method, or relieved phlegm, dredged liver and Qi to Tongyang, or Xinwen Sanhan to Tongyang, or Jianpi Huashi to Tongyang, or Huoxue Xingqi to Tongyang and Huoxue Sanjie method and Huoxue Huayu method.

Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Tipo de estudio: Estudio pronóstico Idioma: Chino Revista: Chinese Traditional and Herbal Drugs Año: 2018 Tipo del documento: Artículo

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Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Tipo de estudio: Estudio pronóstico Idioma: Chino Revista: Chinese Traditional and Herbal Drugs Año: 2018 Tipo del documento: Artículo